Triple

T10500591
Position Surface form Disambiguated ID Type / Status
Subject Aidan Clinton Mezvinsky E247661 entity
Predicate relative P37 FINISHED
Object Marc Mezvinsky E351684 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marc Mezvinsky | Statement: [Aidan Clinton Mezvinsky, relative, Marc Mezvinsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Mezvinsky
Context triple: [Aidan Clinton Mezvinsky, relative, Marc Mezvinsky]
  • A. Marc Mezvinsky chosen
    Marc Mezvinsky is an American investment banker best known as the husband of Chelsea Clinton and son-in-law of former U.S. President Bill Clinton and former Secretary of State Hillary Clinton.
  • B. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • C. Michael Kozoll
    Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
  • D. Michael Gruskoff
    Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
  • E. Jeremy Kushnier
    Jeremy Kushnier is a Canadian actor and singer best known for his work in musical theatre, including roles in productions like "Rent" and "Footloose."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098ef57c8190a9803c2c1736d299 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b31de8c8190996df69ae02278f8 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:25 p.m.